About
Results-driven Data Analyst with 6+ years of experience collecting, cleaning, and analysing large datasets to drive data-based decision-making. Proficient in SQL (MySQL, PostgreSQL), Python (Pandas, NumPy, Scikit-learn), R, and leading BI tools including Power BI, Tableau, and Excel. Proven track record building interactive dashboards, KPI frameworks, and automated ETL pipelines that deliver actionable insights to business and technical stakeholders. Deep expertise in statistical analysis, predictive modelling, data governance, and cross-functional collaboration in remote-first, agile environments. Experienced with cloud data platforms (AWS, BigQuery), Google Analytics, and CRM data — with a consistent history of translating complex datasets into clear, impactful business narratives.
Skills & Expertise (31)
Work Experience
Data Analyst
INTERIOREX
Feb 2024 - Mar 2026
Gathered, cleaned, and organised data from multiple structured and unstructured sources — processing 10,000+ SKUs with 97%+ accuracy using Python (Pandas, Scikit-learn) and SQL, ensuring data reliability for downstream decision-making. Developed and maintained interactive dashboards and reports in Tableau and Excel, tracking KPIs and business performance metrics for senior stakeholders across product, sales, and operations. Analysed large datasets to identify trends, patterns, and business opportunities — applying statistical methods (R, Python) and exploratory data analysis to surface actionable insights that informed category-level strategy. Built data models and KPI frameworks to monitor business performance, applying window functions, CTEs, and aggregations in SQL (MySQL, PostgreSQL) across multi-system product records. Designed PySpark ETL pipelines to ingest, clean, and transform high-volume consumer datasets — enforcing schema validation, deduplication, and normalisation before loading to PostgreSQL for BI reporting. Applied ML classification models (Random Forest, Regression) in Python and R to automate data categorisation, improving classification precision by 18% through iterative feature engineering and model refinement. Conducted ad hoc analysis and prepared data visualisations for management presentations, translating complex analytical outputs into clear, non-technical business narratives. Ensured data integrity, governance, and confidentiality at all times — implementing validation checkpoints, flagging schema violations, and maintaining audit-ready data quality standards. Collaborated cross-functionally with product, engineering, and client success teams in agile sprints to define data requirements, reporting structures, and KPI definitions aligned to business goals. Automated data ingestion, transformation, and QA workflows using Python and NumPy, reducing manual processing effort by 35% and accelerating time-to-insight for analytics deliverables.
Business Analyst
INTERIOREX
Mar 2019 - Jan 2024
Developed SQL and Python analytics frameworks to track vendor and product metrics, applying segmentation and trend analysis to inform resource allocation and category-level business decisions. Analysed consumer purchase and engagement data to identify churn and retention drivers using R-based statistical modelling, improving vendor retention by 15%. Built product mix and pricing analyses using Python and NumPy, increasing revenue by 18% through data-driven assortment and category decisions. Created performance dashboards (Excel, Tableau) to monitor KPIs across sales, logistics, and finance — enabling faster, evidence-based decision-making for cross-functional leadership. Led cross-functional data initiatives across marketing, logistics, and finance, reducing issue resolution time by 20% through structured process optimisation and data monitoring.
Sales & Customer Support Analyst
INTERIOREX
Jan 2017 - May 2019
Analysed vendor and product performance metrics using SQL, applying data-driven corrective actions that enhanced retention by 10% and optimised revenue by 18% through strategic product mix decisions. Coordinated supply chain data monitoring, improving delivery timeline accuracy by 30% through structured data tracking, reporting, and process improvement.
Education
PG Program in Data Analytics - University of Minnesota
- · Afghanistan
B.Com – Accounting, Finance & Economics - University of Calcutta
- · Afghanistan
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Skills (31)
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